Data Analyst - Hybrid Seattle, WA

Position: Data Analyst 3- Hybrid Seattle, WA
Data Analyst 3
- Hybrid Seattle, WA page is loaded## Data Analyst 3
- Hybrid Seattle, WA locations:
Seattle, WAtime type:
Full time posted on:
Posted Todayjob requisition :
R-799124###
** Job Description**## The Data Analyst 3 on the Credit and Payments Analytics team is responsible for delivering advanced data analysis and actionable insights to support Nordstrom's payments business. This role involves conducting deep-dive analysis, developing strategies, and producing detailed reporting via data storytelling to monitor portfolio performance, optimize vendor card marketing strategies, and enhance payment solutions. The Data Analyst 3 will work closely with cross-functional partners, the Payment Analytics Manager, and external stakeholders to provide data-driven recommendations that drive profitable growth, improve the customer experience, and mitigate risk, via start to end individual and team project ownership.##

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* Key Responsibilities:

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** Advanced Analytics & Decision Support:**  + ## Deliver data-driven analytics and actionable insights to guide strategic decision-making within the Payments organization.  + ## Conduct advanced analysis to interpret payment fee trends, JWN channel performance, customer engagement with JWN card, and card marketing campaign effectiveness among other areas of the business  + ## Develop and own forecasts, KPIs, and expectations for payment strategies, ensuring alignment with business objectives.
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** Communication & Data Storytelling:**  + ## Work using visualization and presentation tools to deliver a concise, compelling, and impactful message for presentations to key business partners  + ## Be able to identify key messages in data, either self-developed analytics or by team members, to provide actionable answers to the business* ##
** Data Reporting & Insights:**  + ## Build and maintain dashboards, reports, and presentations to communicate key insights and trends to internal stakeholders.  + ## Summarize complex data into actionable recommendations and present findings clearly to cross-functional partners and senior leadership.  + ## Solve complex queries from leadership and business partners via self-driven data exploration and hypothesis testing  + ## Monitor emerging trends in account vintages, portfolio performance, and payment behaviors, sharing insights with relevant teams.
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* Cross-Functional Collaboration:

**  + ## Partner with key internal stakeholders, including Marketing, Finance, Product, and IT, to support payment initiatives and data development.  + ## Work closely with external partners, such as Visa, Mastercard, to ensure alignment on strategies, reporting, and performance expectations.* ##
** Team Leadership:**  + ## Act as a subject matter expert (SME) within the team, ensuring best practices in data analysis, reporting, and model development are followed.* ##
** Ad Hoc Projects:**  + ## Respond to ad hoc business requests with timely and accurate analysis, driving actionable insights to solve complex problems.##
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* Qualifications:

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* Education & Experience:

**  + ## Bachelor's degree in finance, Economics, Statistics, Data Science, Business Administration, or a related field. Advanced degree preferred.  + ## 4+ years of experience in analytics and reporting, with a desired focus on payment or marketing analytics within the retail industry.  + ## 2+ years of experience in applying statistical techniques, including experimental design and hypothesis testing.* ##
** Communication & Interpersonal

Skills:

**  + ## Strong ability to synthesis data and outputs into an easy-to-understand story is a must for this role.  + ## Excellent verbal and written communication skills, capable of conveying complex information to diverse audiences.  + ## Able to develop and deliver presentations to key business partners with minimal oversite.* ##
** Technical

Skills:

**  + ## Advanced proficiency in SQL, Big Query, SAS, or Python for data extraction, manipulation, and analysis.  + ##

Experience with data visualization tools like Tableau, Power BI, Looker, or similar platforms.  + ## Strong skills in creating macros, automating repetitive tasks, and…